All software
PeakPerformance
PeakPerformance is a Python toolbox for estimating peak areas from mass-spectrometry or HPLC datasets under uncertainty. It applies Bayesian inference using the PyMC library to parametric models of peak curves.
- Data analysis
- Earth & Environment
- mass spectrometry
- + 4
- Python
- TeX
Peary
This is Peary Caribou, a data acquisition software framework for the Caribou DAQ system. It provides hardware abstraction for periphery components such as voltage regulators and simplifies direct detector configuration and data acquisition through a common interface.
- C++
- DAQ
- Matter
- C++
- CMake
- C
- + 2
PickYOLO
PickYOLO
- cryo electron tomography
- Deep Learning
- object detection
- + 5
- Python
PiGx
PiGx is a collection of genomics pipelines. All pipelines are easily configured with a simple sample sheet and a descriptive settings file. The result is a set of comprehensive, interactive HTML reports with interesting findings about your samples.
- HTML
- Python
- R
- + 7
Potsdam Open-source Radio interferometry Tool (PORT)
PORT is a software package dedicated to the analysis of modern and historical Very Long Baseline Interferometry (VLBI) observations. It is utilized to perform the GFZ VLBI Analysis Center responsibilities, as well as state-of-the-art research in space geodesy, geophysics, and astrometry.
- Astrometry
- Earth orientation parameters
- Reference frames
- + 1
- Python
- MATLAB
- Fortran
- + 2
PP
Pixel-Patrol
- Data exploration
- Prevalidation
- QC
- + 1
- Jupyter Notebook
- Python
- JavaScript
- + 3
ProFASi
PROFASI (PROtein Folding and Aggregation SImulator) is a C++ package for HPC Monte Carlo simulations of protein folding and aggregation. It provides an all atom, implicit solvent force field, and a set of tools to perform Monte Carlo simulations. A plugin mechanism allows for user extensions.
- Monte Carlo
- Peptide Aggregation
- Protein folding
- + 2
- C++
- CMake
- Python
- + 1
PyCast S2S
PyCast S2S is a collection of tools for post-processing climate forecasts. It is tailored towards the integration in operational workflows, allowing for automated bias-correction and forecast evaluation. PyCast is written in Python and uses state-of-the-art libraries for data processing.
- Climate forecasting
- Earth & Environment
- open source
- + 1
- Jupyter Notebook
- Python
pycmor
A Python package that simplifies the conversion of climate model output into CMOR-compliant formats, supporting CMIP6 and CMIP7 standards. Provides a modular, plugin-based pipeline for processing NetCDF data from diverse Earth system models.
- CF-conventions
- climate model output
- CMIP6
- + 7
- Python
py-cordex
py-cordex is a Python library for managing CORDEX grids, handling rotated/projection-based domains, and supporting CMORization of regional climate data. It enables compliant metadata, grid generation, and integration with xarray for climate workflows.
- CORDEX
- Earth & Environment
- python
- Python
- Makefile
pyMarAI
Neural network model and PyQt5-based user interface for image segmentation of microscopic tumor spheroids. Usable with nnU-Net deep-learning framework. Trained on microscopic images of mouse pheochromocytoma (MPC) cells. Provides pipelines for handling data, running delineation, curating results...
- Artifical Intelligence
- cancer
- Convolutional Neural Networks
- + 6
- Python
PyQuickMaps
A slim python library to link maps and sampling data with prediction methods. Needs scipy, numpy, matplotlib, pykrige, osgeo, rasterio.
- Data Visualization
- Earth & Environment
- Predictive Mapping
- + 1
- Python